Validation/RecoParticleFlow/src/TH2Analyzer.cc - master - githubmirror/cmssw

Validation/RecoParticleFlow/src/TH2Analyzer.cc
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08 май 2019, 15:15
08 май 2019, 15:157409a58
#include "Validation/RecoParticleFlow/interface/TH2Analyzer.h"

#include "TF1.h"
#include "TH1D.h"
#include "TH2D.h"
#include "TPad.h"

#include <algorithm>
#include <iostream>
#include <sstream>
#include <string>

using namespace std;

// remove?
void TH2Analyzer::Eval(int rebinFactor) {
  // std::cout << "Eval!" << std::endl;

  Reset();

  const string bname = hist2D_->GetName();
  const string rebinName = bname + "_rebin";
  rebinnedHist2D_ = (TH2D *)hist2D_->Clone(rebinName.c_str());
  rebinnedHist2D_->RebinX(rebinFactor);

  const string averageName = bname + "_average";
  average_ = new TH1D(averageName.c_str(),
                      "arithmetic average",
                      rebinnedHist2D_->GetNbinsX(),
                      rebinnedHist2D_->GetXaxis()->GetXmin(),
                      rebinnedHist2D_->GetXaxis()->GetXmax());

  const string rmsName = bname + "_RMS";
  RMS_ = new TH1D(rmsName.c_str(),
                  "RMS",
                  rebinnedHist2D_->GetNbinsX(),
                  rebinnedHist2D_->GetXaxis()->GetXmin(),
                  rebinnedHist2D_->GetXaxis()->GetXmax());

  const string sigmaGaussName = bname + "_sigmaGauss";
  sigmaGauss_ = new TH1D(sigmaGaussName.c_str(),
                         "sigmaGauss",
                         rebinnedHist2D_->GetNbinsX(),
                         rebinnedHist2D_->GetXaxis()->GetXmin(),
                         rebinnedHist2D_->GetXaxis()->GetXmax());

  const string meanXName = bname + "_meanX";
  meanXslice_ = new TH1D(meanXName.c_str(),
                         "meanX",
                         rebinnedHist2D_->GetNbinsX(),
                         rebinnedHist2D_->GetXaxis()->GetXmin(),
                         rebinnedHist2D_->GetXaxis()->GetXmax());

  ProcessSlices(rebinnedHist2D_);
}

void TH2Analyzer::Reset() {
  if (rebinnedHist2D_)
    delete rebinnedHist2D_;
  if (average_)
    delete average_;
  if (RMS_)
    delete RMS_;
  if (sigmaGauss_)
    delete sigmaGauss_;
  if (meanXslice_)
    delete meanXslice_;

  // for( unsigned i=0; i<parameters_.size(); ++i) {
  //  delete parameters_[i];
  //}

  // parameters_.clear();
}

void TH2Analyzer::Eval(const int rebinFactor, const int binxmin, const int binxmax, const bool cst_binning) {
  Reset();
  const string bname = hist2D_->GetName();
  const string rebinName = bname + "_rebin";

  if (binxmax > hist2D_->GetNbinsX()) {
    std::cout << "Error: TH2Analyzer.cc: binxmax>hist2D_->GetNbinsX()" << std::endl;
    return;
  }

  if (cst_binning) {
    // std::cout << "hist2D_->GetXaxis()->GetBinLowEdge(" << binxmin << ") = "
    // << hist2D_->GetXaxis()->GetBinLowEdge(binxmin) << std::endl; std::cout <<
    // "hist2D_->GetXaxis()->GetBinUpEdge(" << binxmax << ") = " <<
    // hist2D_->GetXaxis()->GetBinUpEdge(binxmax) << std::endl; std::cout <<
    // "hist2D_->GetNbinsY() = " << hist2D_->GetNbinsY() << std::endl; std::cout
    // << "hist2D_->GetYaxis()->GetXmin() = " << hist2D_->GetYaxis()->GetXmin()
    // << std::endl; std::cout << "hist2D_->GetYaxis()->GetXmax() = " <<
    // hist2D_->GetYaxis()->GetXmax() << std::endl;
    rebinnedHist2D_ = new TH2D(rebinName.c_str(),
                               "rebinned histo",
                               binxmax - binxmin + 1,
                               hist2D_->GetXaxis()->GetBinLowEdge(binxmin),
                               hist2D_->GetXaxis()->GetBinUpEdge(binxmax),
                               hist2D_->GetNbinsY(),
                               hist2D_->GetYaxis()->GetXmin(),
                               hist2D_->GetYaxis()->GetXmax());
    for (int binyc = 1; binyc < hist2D_->GetNbinsY() + 1; ++binyc) {
      for (int binxc = binxmin; binxc < binxmax + 1; ++binxc) {
        // std::cout << "hist2D_->GetBinContent(" << binxc << "," << binyc << ")
        // = " << hist2D_->GetBinContent(binxc,binyc) << std::endl; std::cout <<
        // "hist2D_->GetBinError(" << binxc << "," << binyc << ") = " <<
        // hist2D_->GetBinError(binxc,binyc) << std::endl; std::cout <<
        // "binxc-binxmin+1 = " << binxc-binxmin+1 << std::endl;
        rebinnedHist2D_->SetBinContent(binxc - binxmin + 1, binyc, hist2D_->GetBinContent(binxc, binyc));
        rebinnedHist2D_->SetBinError(binxc - binxmin + 1, binyc, hist2D_->GetBinError(binxc, binyc));
      }
    }
    rebinnedHist2D_->RebinX(rebinFactor);

    const string averageName = bname + "_average";
    average_ = new TH1D(averageName.c_str(),
                        "arithmetic average",
                        rebinnedHist2D_->GetNbinsX(),
                        rebinnedHist2D_->GetXaxis()->GetXmin(),
                        rebinnedHist2D_->GetXaxis()->GetXmax());

    const string rmsName = bname + "_RMS";
    RMS_ = new TH1D(rmsName.c_str(),
                    "RMS",
                    rebinnedHist2D_->GetNbinsX(),
                    rebinnedHist2D_->GetXaxis()->GetXmin(),
                    rebinnedHist2D_->GetXaxis()->GetXmax());

    const string sigmaGaussName = bname + "_sigmaGauss";
    sigmaGauss_ = new TH1D(sigmaGaussName.c_str(),
                           "sigmaGauss",
                           rebinnedHist2D_->GetNbinsX(),
                           rebinnedHist2D_->GetXaxis()->GetXmin(),
                           rebinnedHist2D_->GetXaxis()->GetXmax());

    const string meanXName = bname + "_meanX";
    meanXslice_ = new TH1D(meanXName.c_str(),
                           "meanX",
                           rebinnedHist2D_->GetNbinsX(),
                           rebinnedHist2D_->GetXaxis()->GetXmin(),
                           rebinnedHist2D_->GetXaxis()->GetXmax());
  } else {
    // binning is not constant, but made to obtain almost the same number of
    // events in each bin

    // std::cout << "binxmax-binxmin+1 = " << binxmax-binxmin+1 << std::endl;
    // std::cout << "rebinFactor = " << rebinFactor << std::endl;
    // std::cout << "(binxmax-binxmin+1)/rebinFactor = " <<
    // (binxmax-binxmin+1)/rebinFactor << std::endl; std::cout <<
    // "((binxmax-binxmin+1)%rebinFactor) = " <<
    // ((binxmax-binxmin+1)%rebinFactor) << std::endl; std::cout <<
    // "abs((binxmax-binxmin+1)/rebinFactor) = " <<
    // std::abs((binxmax-binxmin+1)/rebinFactor) << std::endl;

    unsigned int nbin = 0;
    if (((binxmax - binxmin + 1) % rebinFactor) != 0.0) {
      nbin = std::abs((binxmax - binxmin + 1) / rebinFactor) + 1;
    } else
      nbin = (binxmax - binxmin + 1) / rebinFactor;

    double *xlow = new double[nbin + 1];
    int *binlow = new int[nbin + 1];

    TH1D *h0_slice1 = hist2D_->ProjectionY("h0_slice1", binxmin, binxmax, "");
    const unsigned int totalNumberOfEvents = static_cast<unsigned int>(h0_slice1->GetEntries());
    // std::cout << "totalNumberOfEvents = " << totalNumberOfEvents <<
    // std::endl;
    delete h0_slice1;

    unsigned int neventsc = 0;
    unsigned int binXmaxc = binxmin + 1;
    xlow[0] = hist2D_->GetXaxis()->GetBinLowEdge(binxmin);
    binlow[0] = binxmin;
    for (unsigned int binc = 1; binc < nbin; ++binc) {
      while (neventsc < binc * totalNumberOfEvents / nbin) {
        TH1D *h0_slice1c = hist2D_->ProjectionY("h0_slice1", binxmin, binXmaxc, "");
        neventsc = static_cast<unsigned int>(h0_slice1c->GetEntries());
        //        //std::cout << "FL : neventsc = " << neventsc << std::endl;
        //        //std::cout << "FL : binXmaxc = " << binXmaxc << std::endl;
        ++binXmaxc;
        delete h0_slice1c;
      }
      // std::cout << "binXmaxc-1 = " << binXmaxc-1 << std::endl;
      binlow[binc] = binXmaxc - 1;
      xlow[binc] = hist2D_->GetXaxis()->GetBinLowEdge(binXmaxc - 1);
    }
    xlow[nbin] = hist2D_->GetXaxis()->GetBinUpEdge(binxmax);
    binlow[nbin] = binxmax;

    // for (unsigned int binc=0;binc<nbin+1;++binc)
    //{
    //  std::cout << "xlow[" << binc << "] = " << xlow[binc] << std::endl;
    //}

    rebinnedHist2D_ = new TH2D(rebinName.c_str(),
                               "rebinned histo",
                               nbin,
                               xlow,
                               hist2D_->GetNbinsY(),
                               hist2D_->GetYaxis()->GetXmin(),
                               hist2D_->GetYaxis()->GetXmax());
    for (int binyc = 1; binyc < hist2D_->GetNbinsY() + 1; ++binyc) {
      for (unsigned int binxc = 1; binxc < nbin + 1; ++binxc) {
        double sum = 0.0;
        for (int binxh2c = binlow[binxc - 1]; binxh2c < binlow[binxc]; ++binxh2c) {
          sum += hist2D_->GetBinContent(binxh2c, binyc);
        }
        rebinnedHist2D_->SetBinContent(binxc, binyc, sum);
      }
    }

    const string averageName = bname + "_average";
    average_ = new TH1D(averageName.c_str(), "arithmetic average", nbin, xlow);

    const string rmsName = bname + "_RMS";
    RMS_ = new TH1D(rmsName.c_str(), "RMS", nbin, xlow);

    const string sigmaGaussName = bname + "_sigmaGauss";
    sigmaGauss_ = new TH1D(sigmaGaussName.c_str(), "sigmaGauss", nbin, xlow);

    const string meanXName = bname + "_meanX";
    meanXslice_ = new TH1D(meanXName.c_str(), "meanX", nbin, xlow);
    delete[] xlow;
    delete[] binlow;
  }
  ProcessSlices(rebinnedHist2D_);
}

void TH2Analyzer::ProcessSlices(const TH2D *histo) {
  // std::cout << "ProcessSlices!" << std::endl;

  TH1::AddDirectory(false);

  for (int i = 1; i <= histo->GetNbinsX(); ++i) {
    TH1D *proj = histo->ProjectionY("toto", i, i);
    const double mean = proj->GetMean();
    const double rms = proj->GetRMS();
    // std::cout << "mean = " << mean << std::endl;
    // std::cout << "rms = " << rms << std::endl;
    average_->SetBinContent(i, mean);
    average_->SetBinError(i, proj->GetMeanError());
    RMS_->SetBinContent(i, rms);
    RMS_->SetBinError(i, proj->GetRMSError());

    const double error = (histo->GetXaxis()->GetBinUpEdge(i) - histo->GetXaxis()->GetBinLowEdge(i)) / 2.0;
    // std::cout << "error = " << error << std::endl;
    meanXslice_->SetBinContent(i, histo->GetXaxis()->GetBinLowEdge(i) + error);
    meanXslice_->SetBinError(i, error);
    // std::cout << "histo->GetXaxis()->GetBinLowEdge(" << i << ") = "
    //          << histo->GetXaxis()->GetBinLowEdge(i) << std::endl;
    // std::cout << "meanXslice_->GetBinError(" << i << ") = "
    //	      << meanXslice_->GetBinError(i) << std::endl;
    ProcessSlice(i, proj);
    delete proj;
  }

  TH1::AddDirectory(true);
}

void TH2Analyzer::ProcessSlice(const int i, TH1D *proj) const {
  // const double mean = proj->GetMean();
  const double rms = proj->GetRMS();
  // std::cout << "FL: mean = " << mean << std::endl;
  // std::cout << "FL: rms = " << rms << std::endl;

  if (rms != 0.0) {
    const double fitmin = proj->GetMean() - proj->GetRMS();
    const double fitmax = proj->GetMean() + proj->GetRMS();

    // std::cout << "i = " << i << std::endl;
    // std::cout << "fitmin = " << fitmin << std::endl;
    // std::cout << "fitmax = " << fitmax << std::endl;

    // proj->Draw();
    TF1 *f1 = new TF1("f1", "gaus", fitmin, fitmax);
    f1->SetParameters(proj->GetRMS(), proj->GetMean(), proj->GetBinContent(proj->GetMaximumBin()));
    proj->Fit(f1, "R", "", proj->GetXaxis()->GetXmin(), proj->GetXaxis()->GetXmax());

    // std::ostringstream oss;
    // oss << i;
    // const std::string plotfitname="Plots/fitbin_"+oss.str()+".eps";
    // gPad->SaveAs( plotfitname.c_str() );
    // std::cout << "param1 = " << f1->GetParameter(1) << std::endl;
    // std::cout << "param2 = " << f1->GetParameter(2) << std::endl;
    // std::cout << "paramError2 = " << f1->GetParError(2) << std::endl;

    sigmaGauss_->SetBinContent(i, f1->GetParameter(2));
    sigmaGauss_->SetBinError(i, f1->GetParError(2));
    delete f1;
  } else {
    sigmaGauss_->SetBinContent(i, 0.0);
    sigmaGauss_->SetBinError(i, 0.0);
  }
}